3.2 Orbit AI Studio
Last updated
Last updated
Efficiently import and process data from various sources, crucial for handling large volumes of documents. Ensures data is ingested promptly and accurately, impacting the quality and timeliness of responses.
Web Scrappers
Extract relevant data from web pages, allowing real-time updates and comprehensive data collection. This enhances the breadth of information available, improving response accuracy and relevance.
Connectors to 3rd Party Applications/Databases
Enable seamless data exchange with external systems and databases, ensuring that the system has access to the latest data. This integration is vital for maintaining up-to-date and accurate responses.
Centralized repository for all entities, ensuring consistency and accuracy across the system. Helps in precise entity recognition, improving the system’s understanding and contextual relevance.
Entity Metadata Maintenance and Updates
Regular updates and management of entity-related metadata ensure that the system’s knowledge base is current. This impacts the reliability and correctness of the information provided.
Handles document and data metadata to enhance search and retrieval. Efficient metadata management facilitates faster and more accurate information retrieval, improving overall response quality.
Prepares data by cleaning, normalizing, and transforming it, which is essential for handling large data volumes. Proper pre-processing ensures that the data is in a usable format, enhancing the system’s performance and accuracy.
PDF Parsing
Extracts text and metadata from PDF documents, allowing the system to process and understand information contained in PDFs. This capability is crucial for accessing a wide range of document types.
Embedding
Converts data into embeddings for efficient retrieval and analysis, allowing the system to handle large datasets quickly. Embeddings improve the system's ability to find relevant information and provide accurate responses.
Secure storage for PDFs and flat files ensures that all documents are easily accessible and protected. Proper storage solutions enhance data retrieval speeds and ensure data integrity.
Advanced search capabilities for quick and accurate data retrieval, crucial for managing large document volumes. A robust search engine improves the system's ability to find and deliver relevant information swiftly.
Manages and coordinates workflows and processing logic, ensuring efficient operation. This component is vital for maintaining system performance and reliability.
Connect to LLMs
Integrates with large language models to enhance data processing and response generation, leveraging advanced AI capabilities for improved understanding and generation of responses.
Processing Logic Development
Customizable logic for specific data processing needs, allowing the system to handle complex queries and data scenarios effectively.
Workflows
Streamlined processes to ensure efficient data handling and response generation. Well-designed workflows enhance system efficiency and the quality of outputs.
Intuitive interface for users to interact with the system, ensuring ease of use and accessibility. A user-friendly interface improves user engagement and satisfaction.
Visualizations
Graphical representation of data and insights for easy understanding and analysis. Visualizations help users quickly grasp complex information, enhancing the overall user experience.
